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All Journal Matematika: Jurnal Teori dan Terapan JURNAL PETIK Unes Law Review INSIST (International Series on Interdisciplinary Research) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Sains, Aplikasi, Komputasi dan Teknologi Informasi International Journal of Global Operations Research International Journal of Quantitative Research and Modeling Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Riset Matematika Journal Online Manajemen ELPEI (JOMEL) Bandung Conference Series: Mathematics Jurnal Aplikasi IPTEK Indonesia Matematika SmartComp Indonesian Journal of Education and Social Humanities
Erwin Harahap
Program Studi Matematika Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Islam Bandung
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Transportation Other

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Application of Problem Based Learning Model to Improve Student Learning Outcomes at SD Negeri 0309 Pagaranbira Arham, Dahnial; Hasibuan, Halimah; Harahap, Erwin
Indonesian Journal of Education and Social Humanities Vol. 1 No. 3 (2024): SEPTEMBER 2024
Publisher : MANDAILING GLOBAL EDUKASIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62945/ijesh.v1i3.394

Abstract

This research aims to improve student learning outcomes in Islamic religious education learning by using problem-based learning. This research is a classroom action research that uses four steps, namely planning, action, observation and reflection. The subject of this research is elementary school students. The data of this study was obtained by test and observation techniques. Tests are used to measure learning outcomes and observations are used to analyze the learning activities of teachers and students. The data analysis technique used in this study is descriptive statistics by comparing the results obtained with research success indicators. The results of the study show that problem-based learning can improve student learning outcomes in Islamic religious education learning. This can be seen from the increase in the percentage of student learning completeness in each cycle with details of 40.19% in the pre-cycle, 65.37% in the first cycle and 89.72% in the second cycle. Thus, the use of problem-based learning can be used as an alternative to improve student learning outcomes in Islamic religious education learning.
Apakah RW Secara Mandiri Mampu Menangani Sampah Tanpa Bantuan PEMDA? Badruzzaman, Farid H; Purwanda, Eka; Harahap, Erwin; Ibrahim, Salawat Fatih; Erfiyana, Evi
Jurnal Online Manajemen ELPEI Vol 5 No 1 (2025)
Publisher : STIM-LPI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58191/jomel.v5i1.354

Abstract

This study aims to determine whether the Community Units (RW) are independently able to handle waste without assistance from the Regional Government. Waste management in Bandung Regency is becoming increasingly complex with the increasingly full capacity of the Sarimukti Final Waste Disposal Site (TPA), West Bandung Regency. This has caused the Regional Government together with the West Java Provincial Government to take strategic steps to reduce the volume of waste sent to the TPA. One of the main strategies that is being actively carried out is to encourage the community to start sorting waste from the source, especially at the household level. In addition, the Bandung Regency Government has also introduced the "Zero Food Waste" program. Data were obtained through surveys, interviews, and direct observations in RW 12, Cimenyan District. The conclusion of this study is that the Community Units (RW) have not been able to manage waste independently without assistance from the Regional Government. The results of the study are expected to help the Regional Government (Pemda) design a more effective waste management strategy
Analisis Efektivitas dan Kontribusi Penerimaan Pajak Hotel dan Restoran Terhadap PAD BAPENDA Kabupaten Bandung Hasanah, Nandita Uswatun; Harahap, Erwin
Matematika: Jurnal Teori dan Terapan Matematika Vol. 24 No. 1 (2025): Jurnal Matematika
Publisher : UPT Publikasi Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/matematika.v24i1.3543

Abstract

Pajak adalah pembayaran wajib kepada pemerintah yang dilakukan oleh individu, perusahaan, atau entitas hukum lainnya. Tujuan utama pajak adalah untuk mendanai biaya pemerintah untuk program dan layanan publik seperti pendidikan, kesehatan, infrastruktur, pertahanan, dan banyak lagi. Daerah harus memiliki sumber daya penerimaan daerah yang cukup jika mereka ingin melaksanakan pembangunan daerah dan meningkatkan pelayanan kepada masyarakat. Pendapatan Asli Daerah (PAD) adalah salah satu sumber penerimaan daerah untuk membiayai berbagai program pajak daerah seperti pembangunan dan pelayanan publik di tingkat lokal, seperti pendidikan, kesehatan, dan infrastruktur, pemerintah harus memastikan bahwa pendapatan ini digunakan dengan benar untuk meningkatkan kesejahteraan masyarakat lokal. Pajak hotel dan pajak restoran merupakan dua jenis pajak daerah yang potensinya semakin berkembang seiring dengan semakin diperhatikannya adanya komponen pendukung yaitu sektor jasa, pembangunan maupun pariwisata dalam kebijakan peningkatan pembangunan daerah. Dari analisis yang dilakukan, efektivitas pajak hotel dan restoran pada tahun 2020 sampai tahun 2022 terbilang kurang efektif dengan rasio kurang dari 50% sedangkan untuk kontribusinya terhadap Pendapatan Asli Daerah masih terbilang sangat kurang dengan rasio kurang dari 10%.
Analisis Peramalan Penjualan Produk X pada Perusahaan XYZ Menggunakan Metode Double Exponential Smoothing Azkiyatul Mahmudah, Azka; Rohaeni, Onoy; Badruzzaman, Farid; Harahap, Erwin
Matematika: Jurnal Teori dan Terapan Matematika Vol. 22 No. 2 (2023): Jurnal Matematika
Publisher : UPT Publikasi Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/matematika.v22i2.1611

Abstract

Pencapaian pembangunan nasional dapat diraih dari potensi sumber daya manusia yang berkualitas, karena potensi sumber daya manusia ini merupakan modal dasar pembangunan. Dilihat dari transaksi di Indonesia yang semakin luas dan berkembang, perlu adanya pengikat yang sah dari transaksi bisnis tersebut. Perusahaan XYZ merupakan perusahaan yang bergerak di bidang penjualan. Sebagai usaha untuk meningkatkan bisnis tersebut, maka perusahaan perlu mengatur jumlah persediaan produk agar tidak mengalami kekosongan stok dan agar perusahaan tidak mengalami kerugian. Dilihat dari data penjualan produk X pada tahun 2016 sampai dengan tahun 2019, penjualan produk X setiap tahunnya selalu mengalami kenaikan. Maka untuk mengetahui jumlah penjualan pada periode-periode berikutnya akan digunakan metode Double Exponential Smoothing untuk meramalkan jumlah penjualan tersebut. Hasil akhir yang diperoleh yaitu peramalan berupa nilai jumlah penjualan produk X pada perusahaan XYZ pada periode-periode berikutnya, dimana semakin banyak periode yang diramalkan maka akan semakin tinggi pula hasil peramalan jumlah produk X yang terjual.   Forecasting Analysis of Product X Sales at Company XYZ Using Double Exponential Smoothing Method Achievement of national development can be achieved from the potential of quality human resources, because the potential of these human resources is the basic capital of development. Judging from the transaction in Indonesia, which is getting wider and growing, it is necessary to have a legal binding of the business transaction. XYZ Company is a company engaged in sales. In an effort to improve the business, the company needs to regulate the amount of product inventory so that it does not experience a stock vacancy and so that the company does not experience losses. Judging from the sales data for product X from 2016 to 2019, sales of product X always increase every year. So to find out the number of sales in the following periods, the Double Exponential Smoothing method will be used to predict the number of sales. The final result obtained is forecasting in the form of the value of the number of sales of product X at company XYZ in the following periods, where the more periods are forecasted, the higher the forecasting results for the number of products X sold.
Isu Gender dalam Perspektif Hukum Adat Dalihan Natolu dan Hukum Islam di Padanglawas Akhirani Nasution, Nur Hakima; Harahap, Erwin
UNES Law Review Vol. 6 No. 2 (2023)
Publisher : Universitas Ekasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/unesrev.v6i2.1333

Abstract

Indonesia is a country that has a very varied cultural style and has its own characteristics which are able to give birth to customs as a richness of multicultural traditions, one of which is the Dalihan Notolu Customary Law which is based on the principles of Islamic law. The research carried out aims to determine gender issues according to customary law and lihan notolu from the perspective of Islamic law. The approach used uses a mixed method approach with explanatory design. The data collected in the research process consists of primary data and secondary data which are processed through a data triangulation process. The instruments used are questionnaires, interviews, questionnaires which are divided into several sub-indicators which are first tested for their level of validity and level of reliability. Next, a Mancova test was carried out to see the influence and interrelationship of customary law in a perspective based on Islamic rules and law, and the results of the research revealed that gender issues in the perspective of Dalihan Notolu Customary Law and Islamic Law are interrelated and influence each other in creating a very unique social order in society. and does not conflict with the principles of Islamic law
Prediksi Tren Data Penjualan Album K-Pop Berbasis Machine Learning Menggunakan Algoritma XGBoost Andiyani, Maesaroh; Harahap, Erwin; Suhaedi, Didi
Jurnal Riset Matematika Volume 5, No.2, Desember 2025, Jurnal Riset Matematika (JRM)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrm.v5i2.8340

Abstract

Abstract. The South Korean music industry (K-Pop) is experiencing rapid growth and holds significant global influence. Despite the dominance of digital platforms, physical album sales remain strong, although their trends are not always consistent. This study aims to predict K-Pop album sales trends for the period 2025–2029 using the eXtreme Gradient Boosting (XGBoost) machine learning algorithm, based on historical data from 2020–2024. Data were manually collected from multiple digital platforms, including Circle Chart, YouTube, Instagram, X, and Naver. The research follows the Knowledge Discovery in Database (KDD) framework, consisting of data selection, pre-processing, transformation, data mining, and evaluation stages. The model’s performance was evaluated using the Mean Absolute Percentage Error (MAPE) metric. The results show a general upward trend in album sales across all four major K-Pop agencies HYBE, SM Entertainment, JYP Entertainment, and YG Entertainment although the growth patterns vary by agency. Feature importance analysis revealed different key influencing factors 24-hour MV views played a dominant role at HYBE and SM, the album releases was most significant at JYP, and the active artists had the greatest impact at YG. These findings demonstrate that XGBoost can effectively model and predict K-Pop album sales while identifying agency-specific influencing factors. Abstrak. Industri musik Korea Selatan (K-Pop) mengalami pertumbuhan pesat dan memiliki pengaruh global yang signifikan. Meskipun era digital mendominasi, penjualan album fisik K-Pop terus meningkat, namun tidak selalu menunjukkan pola yang konsisten. Penelitian ini bertujuan untuk memprediksi tren penjualan album K-Pop menggunakan algoritma machine learning eXtreme Gradient Boosting (XGBoost) dengan prediksi tren data penjualan album tahun 2025–2029, berdasarkan data historis periode 2020–2024. Sumber data diperoleh dari platform digital seperti Circle Chart, YouTube, Instagram, X, dan Naver. Penelitian ini dilakukan melalui pendekatan Knowledge Discovery in Database (KDD), dan model dievaluasi menggunakan Mean Absolute Percentage Error (MAPE). Berdasarkan hasil penelitian, dapat disimpulkan bahwa pola dan tren penjualan album K-Pop tahun 2025–2029 menunjukkan peningkatan dari tahun ke tahun, dengan pola yang beragam pada setiap agensi tergantung pada faktor seperti jumlah album dan aktivitas artis. Hasil feature importance menggunakan algoritma XGBoost menunjukkan bahwa setiap agensi memiliki faktor yang berbeda dalam memengaruhi penjualan album, seperti total tayangan MV 24 jam pada agensi HYBE Corporation dan SM Entertainment, total album pada agensi JYP Entertainment, serta jumlah artis aktif pada agensi YG Entertainment.
Penerapan Metode GRA-DEMATEL Pada Pilihan E-Commerce Fashion Gen Z Rini Kurniasih; Suhaedi, Didi; Harahap, Erwin
Jurnal Riset Matematika Volume 5, No.2, Desember 2025, Jurnal Riset Matematika (JRM)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrm.v5i2.8446

Abstract

Abstract. The rapid growth of fashion e-commerce has encouraged Generation Z, as digital natives, to navigate various online shopping platforms. Their unique consumption preferences, shaped by impulsive lifestyles and high exposure to social media, present challenges in selecting the most suitable e-commerce platform for fashion purchases. This study aims to determine the best e-commerce platform for Gen Z in fashion shopping using a Multi-Criteria Decision Making (MCDM) approach. This quantitative research involved 111 Gen Z respondents residing in the Greater Bandung area who have shopped for fashion products on Shopee, Tokopedia, and Lazada. Data were collected through an online questionnaire and processed using the Entropy method to objectively weigh the evaluation criteria, Grey Relational Analysis (GRA) to rank the alternatives, and the Decision Making Trial and Evaluation Laboratory (DEMATEL) to analyze the interrelationships among criteria. The evaluation was based on four main criteria: price, product, appeal, and user experience. The results indicate that Shopee ranks first as the preferred platform. The DEMATEL analysis identified product and price as the most influential criteria affecting appeal and user experience. These findings contribute to a better understanding of Gen Z’s shopping behavior and offer strategic insights for e-commerce platforms seeking to enhance competitiveness and user satisfaction. Abstrak. Pertumbuhan e-commerce fashion yang pesat mendorong Gen Z, sebagai generasi digital native, untuk menghadapi berbagai pilihan platform belanja daring. Preferensi konsumsi mereka yang unik, dipengaruhi gaya hidup impulsif dan eksposur media sosial, menimbulkan tantangan dalam memilih platform e-commerce yang paling sesuai. Penelitian ini bertujuan menentukan platform e-commerce terbaik bagi Gen Z dalam pembelian produk fashion dengan pendekatan Multi-Criteria Decision Making (MCDM). Penelitian bersifat kuantitatif dengan melibatkan 111 responden Gen Z yang berdomisili di wilayah Bandung Raya dan pernah berbelanja fashion di Shopee, Tokopedia, dan Lazada. Data dikumpulkan melalui penyebaran kuesioner daring, kemudian diolah menggunakan metode Entropy untuk pembobotan kriteria secara objektif, Grey Relational Analysis (GRA) untuk pemeringkatan alternatif, serta Decision Making Trial and Evaluation Laboratory (DEMATEL) untuk menganalisis hubungan antarkriteria. Evaluasi dilakukan berdasarkan empat kriteria: harga, produk, daya tarik, dan pengalaman pengguna. Hasil menunjukkan bahwa Shopee menempati peringkat pertama sebagai platform pilihan. Analisis DEMATEL mengidentifikasi produk dan harga sebagai kriteria paling berpengaruh terhadap daya tarik dan pengalaman pengguna. Temuan ini memberikan kontribusi dalam memahami perilaku belanja Gen Z serta menjadi referensi bagi pelaku e-commerce dalam merancang strategi yang relevan dan kompetitif.
SIMULASI KEMACETAN LALU LINTAS PADA LOKASI BUNDARAN BALTOS BANDUNG Dewi, Tresna; Badruzzaman, Farid; Fajar, Yusuf; Suhaedi, Didi; Harahap, Erwin
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 9, No 2 (2020): Smart Comp :Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v9i2.1768

Abstract

Pada masa kini perkembangan teknologi telah memacu meningkatnya kepemilikan kendaraan, terutama di beberapa kota seperti Jakarta, Bandung, Yogyakarta, dan kota besar lainnya. Situasi ini menimbulkan masalah yaitu kemacetan lalu lintas dimana salah satu penyebabnya adalah kepemilikan kendaraan yang semakin bertambah setiap tahun. Kondisi ini tidak didukung dengan keadaan infrastruktur dan sumber daya yang terbatas, disamping fasilitas lalu lintas yang pengoperasiannya masih belum optimal. Penyebab lain dari kemacetan lalu lintas ini adalah banyaknya angkutan umum yang sering berhenti sembarangan, keluar masuk area parkir, dan persilangan kendaraan di persimpangan. Oleh karena itu pada artikel ini dilakukan penelitian untuk mengetahui penyebab dalam masalah kemacetan dan diharapkan ditemukan solusi pemecahan masalah. Dalam penelitian ini, dirancang sistem simulasi arus lalu lintas dengan menggunakan aplikasi SimEvents yang dijalankan pada software MATLAB Simulink. Berdasarkan simulasi, dapat diprediksi penyebab kemacetan lalu lintas khususnya di lokasi Bundaran Balubur Town Square (BALTOS) Kota Bandung Jawa Barat.Kata kunci : kemacetan, lalu lintas, simevents, matlab
Value Input Application (E-Pak) Functional Position of Bandung City Health Department Based on Web Database Syahrul Zein; Onoy Rohaeni; Farid Badruzzaman; Yusuf Fajar; Didi Suhaedi; Erwin Harahap
International Journal of Quantitative Research and Modeling Vol. 3 No. 1 (2022): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v3i1.255

Abstract

Technology is present and becomes a part of human life. Each era has its own technological advantages. The history of technology begins millions of years ago. The first technology discovered by mankind was to create sharp stone chips which were used as stones. Then humans began to develop and found several technologies, one of which was computers and the internet. computers and the internet have a close relationship, especially in today's era where all activities cannot be separated from computers and the internet. One of these activities is in the office world. The Bandung City Health Office is a government agency that has a lot of data, especially in the section where the author is placed, namely the Division of Human Resources and Health or SDMK. The SDMK Division is tasked with receiving data on the credit score of a functional position from the assessment team to calculate whether a functional position is eligible for promotion or not. On that basis, the purpose of this paper is to create an application for inputting the credit score for a functional position based on a web database to make it easier for the assessment team, SDMK to view, recap and change credit scores as well as a functional position in viewing its credit score. The main finding is a web database-based application called E-PAK.
Mathematical Modeling to Estimate Non-Tax State Revenues Rahadatul Aisyi; Friska Anzalni; Yusuf Fajar; Didi Suhaedi; Erwin Harahap
International Journal of Quantitative Research and Modeling Vol. 3 No. 2 (2022): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v3i2.258

Abstract

Mathematics is the basic foundation for other sciences. Equation is a mathematical model that can describe real-life problems, one of which is estimating non-tax state revenues in the coming year. Non-State Revenue (penerimaan negara bukan pajak, PNBP) is the scope of state finances which is equipped with the State Assets and Auction Service Office (kantor pelayanan keuangan negara dan lelang, KPKNL) which must be reported on the realization of PNBP that will be deposited into the state treasury. Such situation happens because expenditures in each government agency will be available and increase every year by the government. Therefore, direktorat jenderal keuangan negara (DJKN) have to be more optimal in the management of the PNBP. This study aims to determine the results of the best estimates and exponential models in estimating non-tax state income at the KPKNL Bandung, Indonesia, in year of 2017 and 2018. This research includes descriptive research using a qualitative approach. The results show that the calculation using the exponential 4th model is the best model for estimating PNBP such that the estimated PNBP results in 2017 is Rp. 574,775,677 and in 2018 is Rp. 798,022,691.
Co-Authors 10060221008, Rini Kurniasih 10060221016, Sabrina Vidya Siswantoro Abdul Kudus Agnia Bastia Ahmad Arif Nurrahman Ahmad Sultan Chaeruddin Akhirani Nasution, Nur Hakima Amalia Amanda Hidayah Andi Priatmoko Andiyani, Maesaroh Andri Suryadi Andri Suryadi, Andri Angga Aditya Pratama Anissa Pujiarti Annisa Melinia Rahayu Arham, Dahnial Arlinda Astri Frianti Audina Tri Hardiyani Aulia Yasmin, Aulia Azkiyatul Mahmudah, Azka Badruzzaman, Farid Badruzzaman, Farid H Barokah, Tutih Chaeruddin, Sultan Dadi Ahmadi Deni Darmawan Depi Siti Nurjanah Devilia Rahmawati Devy Andriyani Dhaifullah, Haris Didi Suhaedi Eka Purwanda Erfiyana, Evi Ernastuti Ernastuti Erwin Prayoga Ali Erwin Prayoga Ali Evi Erfiyana Fadilatil Zikri Fajar, Yusuf Fargiana, Farid Farid Badruzzaman Farid Badruzzaman Farid Badruzzaman Farid Badruzzaman Farid H B Farid H Badruzzaman Farid H Badruzzaman Farid H Badruzzaman Farid H. Badruzzaman Farid H. Badruzzaman Farid Hijri Badruzzaman Farid Hirji Badruzzaman Farid Hirji Badruzzaman Farid Hirji Badruzzaman Friska Anzalni Gani Gunawan Gilang Nitiasya Hadian Afriyadi Hana Kartini Haris Dhaifullah Hasanah, Nandita Uswatun Hasibuan, Halimah Herlangga Jaka Pratama Hiroaki Nishi Ibrahim, Salawat Fatih Icih Sukarsih M Yusuf Fajar M Yusuf Fajar M Yusuf Fajar M Yusuf Fajar M. Yusuf Fajar M. Yusuf Fajar M. Yusuf Fajar M. Yusuf Fajar Mita Rahmawati Muammar Yusuf Fakhri Muhammad Farhan Fakhrurroji Muhammad Farhan Rahmatiar Muhammad Hamzah Muhammad Ihsan Maulidan Muhammad Raihan Muyassar Muhammad Yusuf Fajar Muty Nurvia Muty Nurvia Norawati Norawati Nuralfira Putri Hartono Nurul Hani Onoy Rohaeni Onoy Rohaeni Onoy Rohaeni Rachmanto, Adi Rachmanto, Adi Raden Moch Firdy Adi Sarwono Raesa Novandika Rahadatul Aisyi Ravi Ahmad Salim Respitawulan, R Resqy Sellva Budianti Rida Deana Rini Kurniasih, Rini Sabila Firyal Ghaliyah Salsabila Lintang Veliani Selby Qirana Sentya Agus Savitri Septiany Putri Suliadi Suliadi Sultan Chaeruddin Suparman, Anan Syahrul Zein Syahrul Zein Syarif Mawardi Dwi Putra Thalia Yasmine Puspitasari Tia Febrianti Tia Febrianti Tresna Dewi Tresna Dewi Tria Andani Wardana Windy Rianti Yani Ramdani Yurika Permanasari Yusuf Fajar Yusuf Fajar Zhara Aditya